Hierarchical multi-scale segmentation-based information extraction and dynamic monitoring for the Tagaung Taung nickel deposit, Myanmar
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摘要: 高空间分辨率遥感影像已被广泛应用于矿区分类。针对典型露天红土风化壳型镍矿矿区信息提取及其动态变化监测的研究相对较少等问题,该文以缅甸著名的达贡山镍矿为研究区,基于Pleiades和GF-2高空间分辨率遥感影像数据,首先采用分层次多尺度分割的面向对象分类方法,提取矿区地物信息; 然后,对达贡山镍矿的动态变化情况进行分析; 最后,从定性和定量2个方面对分类结果进行精度评价。研究结果表明,基于分层次多尺度分割技术的分类识别效果较好,Pleiades 和 GF-2 影像的整体分类精度分别为 94.24% 和 89.02%,Kappa系数分别为0.889和0.816,该方法适用于露天红土镍矿的矿区信息提取。通过动态变化分析,2015—2017年达贡山镍矿开采规模不断扩大,开采速度较快,具有良好的资源开发潜力和广阔的开发前景。研究结果可为缅甸达贡山镍矿区的动态变化监测提供技术支持。Abstract: High-resolution remote sensing images have been widely applied to classification of ore deposits. However, there is a lack of studies on the information extraction and dynamic monitoring of open-pit lateritic nickel deposits. Using high-resolution remote sensing images from the Pleiades and GF-2 satellites, this study investigated the famous open-pit Tagaung Taung nickel deposit in Myanmar. First, information about surface features was extracted using object-oriented classification based on hierarchical multi-scale segmentation. Then, the dynamic changes in the nickel deposit were analyzed. Finally, qualitative and quantitative assessments of the classification accuracy were carried out. The results indicate that the hierarchical multi-scale segmentation technology exhibited encouraging classification and identification effects, with overall classification accuracy of 94.24% and 89.02% and the Kappa coefficients of 0.889 and 0.816, respectively for images from the Pleiades and GF-2 satellites. Therefore, the proposed method is suitable for the information extraction of open-pit lateritic nickel deposits. The dynamic change analysis reveals that the Tagaung Taung nickel deposit experienced continuous expansion of mining at high mining speeds from 2015 to 2017. It can be inferred that this deposit has great potential and broad prospects for resource development. The results of this study can provide technical support for the dynamic monitoring of the Tagaung Taung nickel deposit in Myanmar.
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